Name
Abstract | ||
|---|---|---|
We present TweetVista, an interactive web-based tool for mapping the conversation landscapes on Twitter. TweetVista is an intelligent and interactive desktop web application for exploring the conversation landscapes on Twitter. Given a dataset of tweets, the tool uses advanced NLP techniques using deep neural networks and a scalable clustering algorithm to map out coherent conversation clusters. The interactive visualization engine then enables the users to explore these clusters. We ran three case studies using datasets about the 2016 US presidential election and the summer 2016 Orlando shooting. Despite the enormous size of these datasets, using TweetVista users were able to quickly and clearly make sense of the various conversation topics around these datasets. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3030024.3040979 | IUI Companion |
Field | DocType | Citations |
World Wide Web,Conversation,Computer science,Human–computer interaction,Interactive visualization,Web application,Cluster analysis,Multimedia,Deep neural networks,Scalability | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prashanth Vijayaraghavan | 1 | 47 | 6.20 |
| soroush vosoughi | 2 | 50 | 9.78 |
| Ann Yuan | 3 | 4 | 1.86 |
| Deb Roy | 4 | 1033 | 92.10 |